The correlation between mental health status, sleep quality, and inflammatory markers, virus negative conversion time among patients confirmed with 2019-nCoV during the COVID-19 outbreak in China

Background: Coronavirus-2019 (COVID-19) has been coexisting with humans for almost 2 years, consistently impacting people's daily life, medical environment, and mental health. This study aimed to test the series mediation model triggered by childhood trauma, in which perceived psychological impact of COVID-19 pandemic and sleep quality mediated the path sequentially and led to adverse mental health outcomes.Methods: A cross-sectional design involving 817 participants were enrolled via WeChat online survey. Participants completed questionnaires, including demographic features, the Childhood Trauma Questionnaire, Impact of Event Scale-Revised (IES-R) questionnaire, Pittsburgh Sleep Quality Index (PSQI) questionnaire, and Depression, Anxiety, and Stress Scale (DASS-21). Pearson correlations and hierarchical multiple linear regression were employed to examine the association of childhood trauma and psychological stress of COVID-19, sleep quality, and mental health status. In addition, a series mediate analysis was carried out to examine sequence mediating effects of psychological impact of COVID-19 and sleep quality between childhood trauma and mental health status.Results: The results showed that childhood trauma is positively and significantly related to psychological distress of COVID-19 pandemic, sleep quality, and mental health status (p < 0.05). Hierarchical multiple linear regression analysis shown that demographic features explained 4.4, 2.1, and 4.0% of the total variance in DASS-21, IES-R, and PSQI total scale scores, respectively. Adding childhood trauma significantly increased the model variance of DASS-21 (ΔR2 = 0.129, F = 126.092, p = 0.000), IES-R (ΔR2 = 0.062, F = 54.771, p = 0.000), and PSQI total scale scores (ΔR2 = 0.055, F = 48.733, p = 0.000), respectively. Moreover, the series mediation model showed that the perceived impact of the COVID-19 pandemic and sleep quality were sequential mediators between childhood trauma and mental health status (proportion explained: 49.17%, p < 0.05).Conclusion: Amid the ravages of COVID-19, childhood trauma predicts poor mental health status, in part because of greater psychological impact related to COVID-19 and poorer global sleep quality. In order to improve mental health, future researchers should pay more attention to individuals with childhood trauma, for its association with greater stress related to life events and poorer sleep quality.

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Sleep quality, fatigue and mental health status among mild to severe COPD patients

10.1183/13993003.congress-2016.pa3738 ◽

2016 ◽

Author(s):

Islam Mejri Ep Ajili ◽

Zied Moatemri ◽

Selsabil Daboussi ◽

Samira Mhamdi ◽

Chiraz Aichaouia ◽

...

Keyword(s):

Mental Health ◽

Health Status ◽

Sleep Quality ◽

Mental Health Status ◽

Copd Patients ◽

Severe Copd

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Sleep quality and mental health status of healthcare professionals during the outbreak of coronavirus disease 2019 (COVID-19)

Psychology Health & Medicine ◽

10.1080/13548506.2021.1954669 ◽

2021 ◽

pp. 1-8

Author(s):

Ya-Fen Jiang ◽

Jia-Qi Chen ◽

Yang-Gang Wang ◽

Xiao-Dan Zhang ◽

Wen-Ke Hong

Keyword(s):

Mental Health ◽

Health Status ◽

Sleep Quality ◽

Healthcare Professionals ◽

Mental Health Status

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A cross-sectional study for the mental health status and sleep quality among college students in Macao during the COVID-19 pandemic

PeerJ ◽

10.7717/peerj.12520 ◽

2021 ◽

Vol 9 ◽

pp. e12520

Author(s):

Xiaoyu Tao ◽

Dong Chen ◽

Yawen Fan ◽

Lanxin Zhang ◽

Houqian Shan ◽

...

Keyword(s):

Mental Health ◽

College Students ◽

Health Status ◽

Sleep Quality ◽

Health Condition ◽

Mental Health Status ◽

Mental Health Condition ◽

Cross Sectional ◽

Sleeping Pills

Objectives The main focus of this study was to investigate the effect of the coronavirus disease (COVID-19) pandemic on the mental health condition and sleep quality of college students in Macao. In addition, the students’ behaviours during the pandemic, such as drinking alcohol, taking sleeping pills, and seeking psychological counselling were analyzed. Method A cross-sectional survey of mental health and sleep quality status, as well as the possible behavioral risk factors, was conducted among the college students of Macao in August, 2020 during the COVID-19 pandemic. An online self-report questionnaire survey method was applied to assess the general demographics and related lifestyle behaviors of students. The general mental health condition and sleep quality were evaluated through the General Health Questionnaire (GHQ-12) and Pittsburgh Sleep Quality Index (PSQI) questionnaires, respectively. The main statistical methods included the Chi-square test, Bonferroni correction, and Pearson correlation. Data analysis was performed using SPSS Version 24.0. Results A total of 980 students were investigated in the study, of which 977 completed the survey. During the COVID-19 pandemic period, overall college students in Macao were psychologically well adjusted and reported good quality of sleep. However, female students were in poorer psychological condition than males (P < 0.05). Moreover, the students over 20 years of age had poorer sleep quality than students aged less than or equal to 20 (P < 0.05). The significant differences were found among the students in different study majors for the mental health status and sleep quality (both P < 0.05), which were associated with certain behaviors, such as drinking alcohol, taking sleeping pills, and seeking for help in psychological counselling during the COVID-19 pandemic period. Conclusions Poor mental health status could be either the consequence or cause of sleep disturbance, which might further affected physical health. Therefore, regular assessment of mental health condition and sleep quality of college students is particularly necessary during public health emergencies, such as the COVID-19 pandemic, and appropriate intervention should be provided to the students.

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Sleep quality and mental health of medical workers during the coronavirus disease 2019 pandemic

10.21203/rs.3.rs-80886/v1 ◽

2020 ◽

Author(s):

Yahua Zheng ◽

Lili Wang ◽

Lingfei Feng ◽

Lingxiao Ye ◽

Aiping Zhang ◽

...

Keyword(s):

Mental Health ◽

Health Status ◽

Sleep Quality ◽

Mental Health Status ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Global Severity Index ◽

Related Factors ◽

Mental Problems ◽

Mental Symptoms

Abstract Purpose To assess the sleep quality, mental health status and associated factors among medical workers during the coronavirus disease 2019 (COVID-19) pandemic. Methods A cross-sectional study was conducted and medical workers in Ningbo, China were recruited. Sleep quality was evaluated by Pittsburgh Sleep Quality Index (PSQI). Mental health status was evaluated by Symptom Checklist 90(SCL-90). Logistic regression and generalized multi-factor dimensionality reduction (GMDR) analysis were utilized to explore the risk factors and their interactions on sleep quality and mental health status. Results 207 participants were surveyed, 34.3% were found with poor sleep quality (total PSQI score > 10), mainly manifested as sleep disturbance (92.8%). 27.05% were found with mental symptoms (Global severity index > 1.5), mainly manifested as obsessive-compulsive (25.6%). Multivariate logistic analysis showed male (OR = 3.886, 95%CI = 1.061-14.239, P = 0.040), working years >15 years (OR = 4.505, 95%CI = 1.561-12.998, P = 0.005), nurse (OR = 5.642, 95%CI = 1.347-23.632, P = 0.018), more night shifts (OR = 3.098, 95%CI = 1.308-7.336, P = 0.010), supporting Wuhan (OR = 3.413, 95%CI = 1.120-10.395, P = 0.031) were associated with poor sleep quality. GMDR analysis showed there was a two-factor interaction between working years and working shifts (P = 0.0107). No significant factors and interactions were found associated with mental symptoms. Conclusions About one-third of medical workers suffered from sleep and mental problems during the COVID-19 pandemic in the current study. Interventions for sleep and mental problems among medical workers were needed based on related factors.

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The Impact of Psychology Interventions on Changing Mental Health Status and Sleep Quality in University Students during the COVID-19 Pandemic

10.1101/2020.09.01.20186411 ◽

2020 ◽

Author(s):

Jing Xiao ◽

Yu Jiang ◽

Yu Zhang ◽

Xinyi Gu ◽

Wenjing Ma ◽

...

Keyword(s):

Mental Health ◽

Health Status ◽

Sleep Quality ◽

Sleep Disturbances ◽

Mental Health Status ◽

Fourth Period ◽

The Third ◽

Time Periods ◽

The Impact ◽

Second Period

Abstract Objective We evaluated the change in mental health and sleep quality of college students at four time periods. Methods Mental health status and sleep quality were using the Pittsburgh Sleep Quality Index (PSQI) and Symptom Checklist-90-Revised (SCL-90-R) questionnaire across four time periods. Psychology interventions were carried out from the third period. Results Students in the third period had higher PSQI total scores [mean (SD), 6.01 (3.27)] than those in the first period [5.60 (3.11)], second period [4.17 (2.10)] and fourth period [4.09 (2.80)]. After adjustment for covariates there was a decline of 1.89 points in the PSQI in the fourth period compared with the highest period. The SCL-90-R scores were highest in the second period [121.19 (47.83)], and were higher than the scores in the first [107.60 (52.21)] and second period [107.79 (27.20)] and lowest in the fourth period [97.82 (17.12)]. The decline in scores was 23.38 points after adjustment for covariates. The prevalence of psychological distress and sleep disturbances respectively decreased from 28.6% to 11.7% and from 10.4% to 2.6% comparing to the highest period. Sleep quality showed a significant positive correlation with mental health status. Conclusions The pattern of change in mental health status was different to that of sleep quality. The implementation of comprehensive psychology intervention may improve mental health and sleep quality. These findings may inform public health policy during the reopening of schools in other regions.

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Subjective and Objective Consequences of Stress in Subjects with Subjectively Different Sleep Quality—A Cross-Sectional Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18199990 ◽

2021 ◽

Vol 18 (19) ◽

pp. 9990

Author(s):

Beatrice Thielmann ◽

Robin Sebastian Schierholz ◽

Irina Böckelmann

Keyword(s):

Mental Health ◽

Health Status ◽

Sleep Quality ◽

Significant Interaction ◽

Occupational Safety ◽

General Health Questionnaire ◽

Interaction Effects ◽

Mental Health Status ◽

Cross Sectional ◽

Stress Indicator

Background: Restful sleep plays an important role in long-term health and occupational safety. Heart rate variability (HRV) is used as stress indicator. The aim of this study was to determine whether HRV at rest or during sleep, as an objective indicator of stress, reflects subjectively assessed sleep quality. Methods: 84 subjects (37.3 ± 15.6 years) were classified into good sleepers and poor sleepers based on the results of the Pittsburgh Sleep Quality Index (PSQI). The cut-off value to distinguish between good and bad sleepers recommended by Buysse et al. 1989 is >5. Mental health status was determined using the 12-Item General Health Questionnaire (GHQ-12). A 24 h electrocardiogram (ECG) was recorded for HRV analysis (total and 6 h night phase). Results: The poor sleepers showed a significantly lower mental health status (p = 0.004). The multifactorial variance analysis of the total phase time parameters Min HR (p = 0.032, η2 = 0.056) and SI (p = 0.015, η2 = 0.072) showed significant interaction effects. In the 6h night phase, significant interaction effects were found for SDNN (p = 0.036, η2 = 0.065) and SD2 (p = 0.033, η2 = 0.067). In addition, there was a significant negative correlation between HRV and stress and a positive correlation between HRV and mental health. Conclusions: Although this study did not demonstrate a direct relationship between sleep quality and HRV, it was shown that there are important connections between sleep quality and mental health, and between HRV and mental health.

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